Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation-Reference-Cited by-同舟云学术

Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation

Published:2024-04 Issue:4 Volume:11 Page:932-945
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Yang Bin¹^ORCID,Lei Yaguo¹^ORCID,Li Xiang¹^ORCID,Li Naipeng¹^ORCID,Nandi Asoke K.²^ORCID

Affiliation:

1. The School of Mechanical Engineering, Xi'an Jiaotong Univeristy,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi'an,China,710049

2. Brunel University London,Department of Electronic and Electrical Engineering,Uxbridge,UK,UB8 3PH

Funder

National Key R&D Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570654/10475140/10475141.pdf?arnumber=10475141

Reference38 articles.

1. Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

2. A Review of Domain Adaptation without Target Labels

3. Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives

4. Intelligent ball screw fault diagnosis using a deep domain adaptation methodology

5. An incremental model transfer method for complex process fault diagnosis

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